PriceIndex
MI

MiniMax M1

minimax-m1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it... Built by MiniMax.

Prices updated

Input price

$0.55

per 1M tokens · Standard

Output price

$2.20

per 1M tokens · Standard

Input limit

1M

tokens

Output limit

40K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
Compare

MiniMax M1 price history

3 price records since 9/25/2026 · 1 change

MiniMax M1 cost calculator

Input20M tokens
Output5M tokens

$22/month

Standard pricing

    Overview

    What is MiniMax M1?

    MiniMax M1 is a text & reasoning model from MiniMax. MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it... Its 1M context window and $0.55 input price make it a candidate for quality-focused production applications.

    Content workflowsClassification

    Rates

    MiniMax M1 pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.55

    Per 1M tokens

    Cached input · Standard

    Not available

    No listed cached-input rate

    Capabilities

    MiniMax M1 Tools

    Tools available when using MiniMax M1 through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Not supported

    JSON mode

    Not supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Not supported

    Strengths and limitations

    Strengths

    • Priced at $0.55 input and $2.20 output per million tokens.
    • 1M context supports large documents, repositories and extended conversations.
    • Supports text & reasoning workloads in one model.

    Limitations

    • Generated tokens cost 4× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about MiniMax M1

    MiniMax M1 is a text & reasoning model from MiniMax. MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...